23 Remote Entry-level Data Engineer Jobs (No Experience Required)

Explore flexible and work from home entry-level data engineer positions available worldwide. Your career in truly remote companies - apply today.

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🚰 Data Engineer
🌍 Location
πŸ’΅ Minimum Salary
βšͺ️ Entry-level
23 Jobs
πŸ†• Date Added

2 days ago

Atlassian

10,000+ employees

Join as an intern in Data Engineering at Atlassian to influence product team strategies and insights.

2 days ago

Atlassian

10,000+ employees

Join Atlassian as a Data Engineer, focusing on product data quality and insights. Leverage your STEM background to impact teams and data strategies.

3 days ago

As a Data Engineering Intern, you will work with ETL data processes for Rocket Lawyer. Gain hands-on experience in a collaborative environment during the internship.

February 5

As a Data Working Student, you'll collaborate with engineers to enhance digital sales solutions. Join Building Radar's team to innovate in the construction industry.

Top Companies Hiring Remote Entry-level Data Engineers

Hart, Inc.

EHR Data Transformation β€’ EHR Archival β€’ Healthcare Data Transformation

11 - 50

Job Openings

Kyriba

SaaS β€’ Risk Management β€’ Cash Management

501 - 1000

Job Openings

Remote Entry-level Data Engineer Salary Expectations

The average salary for remote entry-level data engineers is $88,400. This is based on data from 3 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

Frequently asked questions

You need strong programming skills, particularly in languages like Python, Java, or Scala. Familiarity with SQL, data modeling, ETL processes, and cloud services is also essential. Good analytical skills and familiarity with data visualization tools can be beneficial.

Typically, a degree in computer science, information technology, or a related field is required. Relevant internships, coursework, or projects showcasing your data engineering skills can also be advantageous. Certifications in big data technologies or cloud platforms can help.

Responsibilities include assisting in the design, construction, and maintenance of data pipelines, collaborating with data scientists and analysts to define data requirements, and ensuring data quality and integrity. You may also be involved in data cleaning and transformation tasks.

Benefits include flexible working hours, the opportunity to work from various locations, and gaining experience in a growing field. You'll also have the chance to collaborate with diverse teams and enhance your technical skills while enjoying a better work-life balance.

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